no code implementations • LREC 2022 • Yang Zhao, Hiroshi Kanayama, Issei Yoshida, Masayasu Muraoka, Akiko Aizawa
To remedy this shortcoming, we present a dependency-tree-based method to construct a Chinese corpus with 151k pairs of sentences and compression based on Chinese language-specific characteristics.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Masayasu Muraoka, Tetsuya Nasukawa, Bishwaranjan Bhattacharjee
We propose a new word representation method derived from visual objects in associated images to tackle the lexical entailment task.
no code implementations • LREC 2020 • Masayasu Muraoka, Ryosuke Kohita, Etsuko Ishii
Datasets for these tasks contain a large number of pairs of an image and the corresponding sentence as an instance.
no code implementations • WS 2018 • Hiroshi Kanayama, Masayasu Muraoka, Ryosuke Kohita
This paper demonstrates a neural parser implementation suitable for consistently head-final languages such as Japanese.
no code implementations • CONLL 2017 • Hiroshi Kanayama, Masayasu Muraoka, Katsumasa Yoshikawa
This paper presents our system submitted for the CoNLL 2017 Shared Task, {``}Multilingual Parsing from Raw Text to Universal Dependencies.